OptimModel: Perform Nonlinear Regression Using 'optim' as the Optimization Engine (original) (raw)
A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006) <doi:10.1186/1471-2105-7-123>.
| Version: | 2.0-3 |
|---|---|
| Depends: | R (≥ 3.0.0), stats, utils, methods, Matrix |
| Suggests: | knitr, testthat, rmarkdown, ggplot2 |
| Published: | 2025-05-04 |
| DOI: | 10.32614/CRAN.package.OptimModel |
| Author: | Steven Novick [aut, cre], Mark Culp [ctb] |
| Maintainer: | Steven Novick <Steven.Novick at takeda.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | OptimModel results |
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